APR | Adversarial Model for MF-BPR
kandi X-RAY | APR Summary
kandi X-RAY | APR Summary
Adversarial Model for MF-BPR
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Top functions reviewed by kandi - BETA
- Train a model .
- Evaluate the prediction by user .
- Load training file
- Parse command line arguments .
- Performs a training batch .
- Shuffle dataset .
- Evaluate the model .
- Get training batch .
- Saves the model .
- Initialize logging .
APR Key Features
APR Examples and Code Snippets
Community Discussions
Trending Discussions on APR
QUESTION
I have a table that looks like this
email created_date me@you.com 1617753600000 you@me.com 1601510400000bigquery tells me that created_date
is stored a string. So I need to transform created_date
from a unix timestamp into a date.
First I tried
PARSE_TIMESTAMP("%s", created_date)
but got error:Failed to parse input string "1617753600000"
Then I tried
TIMESTAMP_MICROS(CAST(created_date as int64)) as submitted_at
which displays the date correctlyWed Apr 07 2021
I'm curious why does PARSE_TIMESTAMP
not work in this case? Isn't this how it should be used?
ANSWER
Answered 2021-Jun-15 at 10:22%s
- stands for "The number of seconds since 1970-01-01 00:00:00 UTC", but looks like you've got microseconds instead.
Try this: parse_timestamp("%s", left(created_date, 10))
QUESTION
I needed help to convert below R dataframe. Can anyone can help me to do it? I tried
df:
...ANSWER
Answered 2021-Jun-14 at 17:50We could use data.table::transpose
QUESTION
my python file in which I work is contained in the following path '/Users/pycar/Documents/Srett/Python/', In this same space I have a folder that contains 8 other folders that all contain a csv that I want to import via panda because it's a database, the problem is that most of the codes found do not work (It says that the file is named 'month' and that the 8 folders are named by the first 8 months of the year then it does not matter what the names of the csv inside.
I would like to make a loop that digs into 'month' and goes into each folder (so january february etc...) and import the csv that is contained inside (with a read.csv).
for a little more visibility tell you that the file my_python is my notebook and that it is in the same folder as month which contains what I gave you
my_python
month-> january -> jan.csv
month-> February -> feb.csv
month-> March -> mar.csv
month-> April -> apr.csv
month-> May -> may.csv
month-> June -> jun.csv
month-> july -> jul.csv
month-> August -> Aug.csv
How can i proceed ?
...ANSWER
Answered 2021-Jun-14 at 13:43If catalog month
and subcatalogs hold solely csv files of interest, you might use glob.glob. Please prepare following script in same catalog in which month
catalog is present, run it and write if it does print all csv files you want to get:
QUESTION
Write a query to display the manufacturer and the number of models the company manufactures, if and only if the average warranty of the manufacturer is more than 3 years. Give an alias for the count as "TOTAL_COUNT". (Hint: Use Mobile_Master to table to retrieve records) Do it in oracle sql
...ANSWER
Answered 2021-Jun-14 at 13:34Instead of having where WARRANTY_IN_YEARS>3
, your question states
...only if the average warranty of the manufacturer is more than 3 years
The key word is AVERAGE.
To filter based on an aggregate function, you will need to use the filter in your HAVING
clause and not your WHERE
clause like this:
QUESTION
I'm compiling HTTPD 2.4.48 along with Lua, Zlib, cURL, jansson and OpenSSL.
Here is the list of files and software I use:
- httpd-2.4.48
- apr-1.7.0
- apr-util-1.6.1
- cURL 7.77.0
- expat-2.4.1
- jansson 2.13.1
- Lua 5.4.3
- mod_fcgid 2.3.9
- openssl-1.1.1k
- pcre-8.44
- ZLIB 1.2.11
- ActivePerl v5.28.1.2801 (x64)
- CMake v3.20.3 (x64)
- NASM v2.15.05 (x64)
- Gawk v3.1.6-1 (x86)
The whole compile statement I use:
Visual Studio 2015: call "C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\vcvarsall.bat" amd64
...ANSWER
Answered 2021-Jun-13 at 19:58Whenever you fix issues, start by the first one (cause solving that may remove the remaining), which in you case seems to be:
QUESTION
I am working on getting some data, and as I am getting this data in a list, I want to write it into a csv file (maybe using pandas)
The data I want to convert is in the form of list:
...ANSWER
Answered 2021-Jun-13 at 18:10I assume you are iterating over some database where in each iteration you are getting the nested list you have mentioned above.
Here you have, for the person 'Val Guene', total 9 jobs and 3 'University' so, for having both single 'experience' and single 'University' in a row, it wouldn't make sense.( as for like 'Senior Associate' which 'University' you will choose.) what you can do is use one of these to create a dataframe.
So let's use 'Experience'
let our this nested list be denoted by variable list1 then,
list1[0]
:- 'name of person'
list1[1]
:- 'tag/current job'
list1[2]
:- 'Experience'
list1[3]
:- 'University'
where,
QUESTION
This Has To One OF The Most Annoying Errors In Python That Have So Many Solutions Depending On The Question
My Files...Main.py
ANSWER
Answered 2021-Jun-13 at 13:56The cryptic error message is of little help, but the stack trace shows that the error occurs in the line:
QUESTION
I'm using Tomcat 10 and eclipse to develop a J2E (or Jakarta EE) web application. I followed this tutorial (http://objis.com/tutoriel-securite-declarative-jee-avec-jaas/#partie2) which seems old (it's a french document, because i'm french, sorry if my english isn't perfect), but I also read the Tomcat 10 documentation.
The dataSource works, I followed instructions on this page (https://tomcat.apache.org/tomcat-10.0-doc/jndi-datasource-examples-howto.html#Oracle_8i,_9i_&_10g) and tested it, but it seems that the realm doesn't work, because I can't login successfully. I always have an authentification error, even if I use the right login and password.
I tried a lot of "solutions" to correct this, but no one works. And I still don't know if I have to put the realm tag inside context.xml, server.xml or both. I tried context.xml and both, but i don't see any difference.
My web.xml :
ANSWER
Answered 2021-Jun-10 at 13:44As Piotr P. Karwasz said it, I misspelled dataSourceName in context.xml and server.xml file. I feel bad that I didn't notice it.
But I still have one question : In which document should I put the realm tag ?
QUESTION
Selecting nested dictionaries and turning them to a DataFrame in Python
From the nested 'biblio' data below, is there a way of sorting this into a data frame with each key as a column? For example, where 'classifications_cpc' is a column header with the codes as the subsequent values?
...ANSWER
Answered 2021-Jun-10 at 12:55Do you want a column for each and every key? or only specific ones? For example, the cited_by
key
has no value
in it.
However, assign the data you provided to a variable names your_data
and try this code:
QUESTION
When I use date_labels = “%b %y” within scale_x_date then the tick labels are rather cluttered because the year appears with each month. (I specifically want to label every month.) I would rather have the year appear only at the start and end of the date range, and also at December and January.
My minimal representative example follows. I was hoping to use a function that creates the tick labels using date_labels = “%b %y” for December, January, first the month and the last month, and then to use date_labels = “%b” for all other months. As a first stab, I tried to reproduce my existing (cluttered) tick labels with a function (by switching to the commented line), but was not able to do so.
To be specific, for this example I would like tick labels to be Aug 20, Sep, Oct, Nov, Dec 20, Jan 21, Feb, Mar, Apr, May 21
Thank you for any suggestions.
...ANSWER
Answered 2021-Jun-09 at 12:30I am not sure if it is possible to provide such customised labels with scale_x_date
. You can create them with dplyr
and use scale_x_discrete
.
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Install APR
You can use APR like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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